A Review on solid oxide fuel cell models
A Review on solid oxide fuel cell models
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DOI：
10.1016/j.ijhydene.2011.03.051
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发表时间：
2011-06
影响因子：
7.2
通讯作者：
Kuo-Hua Wang;D. Hissel;M. Péra;N. Steiner;D. Marra;M. Sorrentino;C. Pianese;M. Monteverde;
中科院分区：
文献类型：
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作者：
Kuo-Hua Wang;D. Hissel;M. Péra;N. Steiner;D. Marra;M. Sorrentino;C. Pianese;M. Monteverde;
由于该模型在固体氧化物燃料电池（SOFC）系统诊断中起着重要的作用，本文提出了现有的SOFC模型，基于模型的诊断SOFC电堆和系统。三类建模的基础上的白色，黑盒和灰盒的方法进行了介绍。白盒模型包括物理模型和基于EIS技术的等效电路模型。黑箱模型基于人工智能，其实现主要依赖于实验数据。灰箱模型更灵活：它是一种物理表示，但某些部分是根据经验建模的。模型的验证进行了讨论，并简要地提到了一个层次化的建模方法，涉及所有的三种建模方法，它给出了一个概述的设计实现一个通用的诊断工具对SOFC系统。
Since the model plays an important role in diagnosing solid oxide fuel cell (SOFC) system, this paper proposes a review of existing SOFC models for model-based diagnosis of SOFC stack and system. Three categories of modelling based on the white-, the black- and the grey-box approaches are introduced. The white-box model includes two types, i.e. physical model and equivalent circuit model based on EIS technique. The black-box model is based on artificial intelligence and its realisation relies mainly on experimental data. The grey-box model is more flexible: it is a physical representation but with some parts being modelled empirically. Validation of models is discussed and a hierarchical modelling approach involving all of three modelling methods is briefly mentioned, which gives an overview of the design for implementing a generic diagnostic tool on SOFC system.